GMAP and GSNAP for Genomic Sequence Alignment: Enhancements to Speed, Accuracy, and Functionality

By Thomas D. Wu, Jens Reeder, Michael Lawrence, Gabriel Becker, Matthew J. Brauer. Statistical Genomics, 2016

377 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/a6a0fb3f40d4c0e6166a8d16403013669fa392f0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Alexander Dobin
2. Bo Li
3. Aviv Regev
4. Brian J. Haas
5. Nicolas Stransky
6. Nathalie Pochet

In Molecular Biology

1. Alexander Dobin
2. Bo Li
3. Aviv Regev
4. Brian J. Haas
5. Nicolas Stransky
6. Nathalie Pochet
7. Nir Yosef
8. Fabian J Theis

Citations in the corpus

• Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods (2019, methodology): “A De novo assembles only the chimeric reads defined by STAR using the Trinity assembler [48], and subsequently leverages GMAP [49, 50] for chimera candidate detection.”